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Compressive Sensing of Earth Observations, 


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Название:  Compressive Sensing of Earth Observations
ISBN: 9780367878863
Издательство: Taylor&Francis
Классификация:


ISBN-10: 0367878860
Обложка/Формат: Paperback
Страницы: 380
Вес: 0.70 кг.
Дата издания: 20.12.2019
Серия: Signal and image processing of earth observations
Язык: English
Размер: 177 x 253 x 23
Читательская аудитория: Tertiary education (us: college)
Основная тема: Digital Signal Processing
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: Written by leading experts in the field this guide provides a comprehensive and balanced coverage of the theory and applications of CS in all aspects of earth observations. This work covers a myriad of practical aspects such as the use of CS in detection of human vital signs in a cluttered environment and the corresponding model

Mathematical Introduction to Compressive Sensing

Автор: Foucart Simon
Название: Mathematical Introduction to Compressive Sensing
ISBN: 0817649476 ISBN-13(EAN): 9780817649470
Издательство: Springer
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Цена: 65210.00 T
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Описание: At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. A Mathematical Introduction to Compressive Sensing uses a mathematical perspective to present the core of the theory underlying compressive sensing.

A Mathematical Introduction to Compressive Sensing

Автор: Simon Foucart; Holger Rauhut
Название: A Mathematical Introduction to Compressive Sensing
ISBN: 1493900633 ISBN-13(EAN): 9781493900633
Издательство: Springer
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Цена: 65210.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. A Mathematical Introduction to Compressive Sensing uses a mathematical perspective to present the core of the theory underlying compressive sensing.

Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT

Автор: Yushu Zhang; Yong Xiang; Leo Yu Zhang
Название: Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT
ISBN: 9811325227 ISBN-13(EAN): 9789811325229
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book gives a comprehensive and systematic review of secure compressive sensing (CS) for applications in various fields such as image processing, pattern recognition, Internet of things (IoT), and cloud computing. It will help readers grasp the knowledge of secure CS and its applications, and stimulate more readers to work on the research and development of secure CS. It discusses how CS becomes a cryptosystem, followed by the corresponding designs and analyses. The application of CS in multimedia data encryption is presented, in which the general design framework is given together with several particular frameworks including parallel CS, involvement of image processing techniques, and double protection mechanism. It also describes the applications of CS in cloud computing security and IoT security, i.e., privacy-preserving reconstruction in cloud computing and secure low-cost sampling in IoT, respectively.

Multibiometric Watermarking with Compressive Sensing Theory

Автор: Thanki
Название: Multibiometric Watermarking with Compressive Sensing Theory
ISBN: 3319731823 ISBN-13(EAN): 9783319731827
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book presents multibiometric watermarking techniques for security of biometric data. The authors have developed novel watermarking techniques with a combination of Compressive Sensing (CS) theory for the security of biometric data at the system database of the biometric system.

Multibiometric Watermarking with Compressive Sensing Theory

Автор: Rohit M. Thanki; Vedvyas J. Dwivedi; Komal R. Bori
Название: Multibiometric Watermarking with Compressive Sensing Theory
ISBN: 3319892398 ISBN-13(EAN): 9783319892399
Издательство: Springer
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Цена: 81050.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents multibiometric watermarking techniques for security of biometric data. This book also covers transform domain multibiometric watermarking techniques and their advantages and limitations. The authors have developed novel watermarking techniques with a combination of Compressive Sensing (CS) theory for the security of biometric data at the system database of the biometric system. The authors show how these techniques offer higher robustness, authenticity, better imperceptibility, increased payload capacity, and secure biometric watermarks. They show how to use the CS theory for the security of biometric watermarks before embedding into the host biometric data. The suggested methods may find potential applications in the security of biometric data at various banking applications, access control of laboratories, nuclear power stations, military base, and airports.


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